Evidence map›Paper›PMID 34645859›Full record

ArticleScientific reports2021

Mapping of UV-C dose and SARS-CoV-2 viral inactivation across N95 respirators during decontamination.

Alisha Geldert, Alison Su, Allison W Roberts, Guillaume Golovkine, Samantha M Grist, Sarah A Stanley, Amy E Herr

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Alisha Geldert *The UC Berkeley - UCSF Graduate Program in Bioengineering, University of California Berkeley, 308B Stanley Hall, Mailcode 1762, Berkeley, CA, 94720, USA.
Alison Su *The UC Berkeley - UCSF Graduate Program in Bioengineering, University of California Berkeley, 308B Stanley Hall, Mailcode 1762, Berkeley, CA, 94720, USA.
Allison W RobertsDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, 94720, USA.
Guillaume GolovkineDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, 94720, USA.
Samantha M GristDepartment of Bioengineering, University of California Berkeley, Berkeley, CA, 94720, USA.
Sarah A StanleyDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, 94720, USA.
Amy E HerrThe UC Berkeley - UCSF Graduate Program in Bioengineering, University of California Berkeley, 308B Stanley Hall, Mailcode 1762, Berkeley, CA, 94720, USA. aeh@berkeley.edu.
University of California, Berkeley · US

Funding

Life Sciences Research Foundation Open Philanthropy FellowNational Science Foundation Graduate Research Fellowship Program (GRFP) 1752814Natural Sciences and Engineering Research Council of Canada Postdoctoral fellowshipThomas and Stacey Siebel Foundation University of California, Berkeley Siebel ScholarshipUniversity of California, Berkeley, College of Engineering Dean's COVID-19 Emergency Research FundU.S. Department of Defense National Defense Science and Engineering Graduate Fellowship (NDSEG)
6 · The paper itself

Abstract

During public health crises like the COVID-19 pandemic, ultraviolet-C (UV-C) decontamination of N95 respirators for emergency reuse has been implemented to mitigate shortages. Pathogen photoinactivation efficacy depends critically on UV-C dose, which is distance- and angle-dependent and thus varies substantially across N95 surfaces within a decontamination system. Due to nonuniform and system-dependent UV-C dose distributions, characterizing UV-C dose and resulting pathogen inactivation with sufficient spatial resolution on-N95 is key to designing and validating UV-C decontamination protocols. However, robust quantification of UV-C dose across N95 facepieces presents challenges, as few UV-C measurement tools have sufficient (1) small, flexible form factor, and (2) angular response. To address this gap, we combine optical modeling and quantitative photochromic indicator (PCI) dosimetry with viral inactivation assays to generate high-resolution maps of "on-N95" UV-C dose and concomitant SARS-CoV-2 viral inactivation across N95 facepieces within a commercial decontamination chamber. Using modeling to rapidly identify on-N95 locations of interest, in-situ measurements report a 17.4 ± 5.0-fold dose difference across N95 facepieces in the chamber, yielding 2.9 ± 0.2-log variation in SARS-CoV-2 inactivation. UV-C dose at several on-N95 locations was lower than the lowest-dose locations on the chamber floor, highlighting the importance of on-N95 dose validation. Overall, we integrate optical simulation with in-situ PCI dosimetry to relate UV-C dose and viral inactivation at specific on-N95 locations, establishing a versatile approach to characterize UV-C photoinactivation of pathogens contaminating complex substrates such as N95s.

Indexed as

COVID-19DecontaminationDose-Response Relationship, RadiationEquipment ReuseHumansMasksN95 RespiratorsPandemicsRadiometrySARS-CoV-2Ultraviolet RaysVirus Inactivation

Identifiers

PMID34645859
PMCPMC8514565
OpenAlexW3206305930

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.